Lecturer in Quantitative Social Science

About us

IOE is UCL Faculty of Education and Society.

Founded in 1902, IOE has been shaping policy and helping government, organisations and individuals navigate a changing society for the last 120 years. We embrace collaboration and excellence to create a future that is inclusive and just, and have been ranked number one for education every year since 2014 in the QS World University Rankings by Subject.

Quantitative Social Science (QSS) research centre

The Quantitative Social Science (QSS) research centre is an interdisciplinary group of academics and researchers with expertise in Economics, Sociology, Psychology, Social Statistics, and Policy Evaluation. Together, we aim to undertake world-class, interdisciplinary social science research which is both academically renowned and policy-relevant. As our name suggests, our research revolves around the development and application of advanced quantitative methods to a wide range of social science issues, with the aim of having real-world engagement and impact. We also aim to design and deliver world-class undergraduate and postgraduate education in all aspects of quantitative social science.

Information about QSS can be found here: https://www.ucl.ac.uk/ioe/departments-and-centres/centres/quantitative-social-science

About the role

We are seeking a Lecturer in any quantitative social science discipline to contribute to teaching and research.

• Relevant fields include, but are not limited to: sociology, economics, psychology, social policy, and political science.
• Applicants with an interest in data science, in particular, in the application of big data, machine learning, and natural language processing techniques to social science topics, are especially welcome.

You will be expected to enhance our interdisciplinary research portfolio, with a focus on the application of quantitative social science research methods to real world problems. You will be expected to seek research funding from a range of sources, and to be able to generate demonstratable impact and engagement in their work. You will also be expected to lead modules on our BSc Social Sciences with Data Science or MSc Social Research Methods and may apply to co-lead these programmes in the future. The appointee will contribute to the life and functioning of the department more broadly.

This post is available from 1 January 2025.

Enquiries regarding the post should be sent to Dingeman Wiertz

About you

You will hold a PhD in any social science discipline, where advanced quantiative methods have been applied with evidence of a growing reputation for research in a social science discipline, including a strong record of peer-reviewed publications.

Experience in the application of data science – such as machine learning or natural language processing - to social science problems is desirable.

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